Description
The Real ORNL Automotive Dynamometer (ROAD) CAN IDS dataset consistis of over 3.5 hours of one vehicle's CAN data. ROAD contains ambient data recorded during a diverse set of activities, and attacks of increasing stealth with multiple variants and instances of real (i.e. non-simulated) fuzzing, fabrication, unique advanced attacks, and simulated masquerade attacks. In addition to the "raw" CAN format, the data is also provided in a the signal time series format for many of the CAN captures. Authors: Miki E. Verma, Robert A. Bridges, Michael D. Iannacone, Samuel C. Hollifield, Pablo Moriano, Bill Kay, Steven Hespeler and Frank L. Combs Citation: Please cite the paper with full description (preprint https://arxiv.org/abs/2012.14600, PLoS ONE publication to appear in 2024)
| Date made available | Dec 28 2020 |
|---|---|
| Publisher | ZENODO |